Model Description

This model is used for BMSTU course work: Web-application for emotion recognition in speech.

Direct Use

This model can recognize emotions (perfectly on russian language speech) without extracting context of speech. Classes of emotions:

  • positive;
  • sad;
  • angry;
  • neutral;
  • other (mostly used for noises)
Downloads last month
32
Safetensors
Model size
94.6M params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for rudger1234/Emotion-recognition-model

Finetuned
(869)
this model

Dataset used to train rudger1234/Emotion-recognition-model